SF patch #634866: Alex Martelli's corrections to the ref manual.

Backport candidate.  All but one or two of these changes
are applicable to 2.2.2.
This commit is contained in:
Raymond Hettinger 2003-01-19 13:08:18 +00:00
parent 4bad9ba282
commit e701dcbabd
3 changed files with 100 additions and 47 deletions

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@ -326,7 +326,9 @@ meanings. These are:
\lineiii{__*}{Class-private name mangling}{}
\end{tableiii}
(XXX need section references here.)
See sections: \ref{import}, ``The \keyword{import} statement'';
\ref{specialnames}, ``Special method names'';
\ref{atom-identifiers}, ``Identifiers (Names)''.
Note:
@ -562,18 +564,25 @@ allowed as suffix for long integers, it is strongly recommended to always
use \character{L}, since the letter \character{l} looks too much like the
digit \character{1}.
Plain integer decimal literals must be at most 2147483647 (i.e., the
largest positive integer, using 32-bit arithmetic). Plain octal and
hexadecimal literals may be as large as 4294967295, but values larger
than 2147483647 are converted to a negative value by subtracting
4294967296. There is no limit for long integer literals apart from
what can be stored in available memory.
Plain integer decimal literals that are above the largest representable
plain integer (e.g., 2147483647 when using 32-bit arithmetic) are accepted
as if they were long integers instead. Octal and hexadecimal literals
behave similarly, but when in the range just above the largest representable
plain integer but below the largest unsigned 32-bit number (on a machine
using 32-bit arithmetic), 4294967296, they are taken as the negative plain
integer obtained by subtracting 4294967296 from their unsigned value. There
is no limit for long integer literals apart from what can be stored in
available memory. For example, 0xdeadbeef is taken, on a 32-bit machine,
as the value -559038737, while 0xdeadbeeffeed is taken as the value
244837814107885L.
Some examples of plain and long integer literals:
Some examples of plain integer literals (first row) and long integer
literals (second and third rows):
\begin{verbatim}
7 2147483647 0177 0x80000000
3L 79228162514264337593543950336L 0377L 0x100000000L
79228162514264337593543950336 0xdeadbeeffeed
\end{verbatim}

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@ -17,7 +17,15 @@ compares the identity of two objects; the
\function{id()}\bifuncindex{id} function returns an integer
representing its identity (currently implemented as its address).
An object's \dfn{type} is
also unchangeable. It determines the operations that an object
also unchangeable.\footnote{Since Python 2.2, a gradual merging of
types and classes has been started that makes this and a few other
assertions made in this manual not 100\% accurate and complete:
for example, it \emph{is} now possible in some cases to change an
object's type, under certain controlled conditions. Until this manual
undergoes extensive revision, it must now be taken as authoritative
only regarding ``classic classes'', that are still the default, for
compatibility purposes, in Python 2.2 and 2.3.}
An object's type determines the operations that the object
supports (e.g., ``does it have a length?'') and also defines the
possible values for objects of that type. The
\function{type()}\bifuncindex{type} function returns an object's type
@ -47,7 +55,7 @@ a matter of implementation quality how garbage collection is
implemented, as long as no objects are collected that are still
reachable. (Implementation note: the current implementation uses a
reference-counting scheme with (optional) delayed detection of
cyclicly linked garbage, which collects most objects as soon as they
cyclically linked garbage, which collects most objects as soon as they
become unreachable, but is not guaranteed to collect garbage
containing circular references. See the
\citetitle[../lib/module-gc.html]{Python Library Reference} for
@ -100,7 +108,8 @@ lists.
\section{The standard type hierarchy\label{types}}
Below is a list of the types that are built into Python. Extension
modules written in \C{} can define additional types. Future versions of
modules (written in C, Java, or other languages, depending on
the implementation) can define additional types. Future versions of
Python may add types to the type hierarchy (e.g., rational
numbers, efficiently stored arrays of integers, etc.).
\index{type}
@ -170,7 +179,8 @@ These represent numbers in the range -2147483648 through 2147483647.
(The range may be larger on machines with a larger natural word
size, but not smaller.)
When the result of an operation would fall outside this range, the
exception \exception{OverflowError} is raised.
result is normally returned as a long integer (in some cases, the
exception \exception{OverflowError} is raised instead).
For the purpose of shift and mask operations, integers are assumed to
have a binary, 2's complement notation using 32 or more bits, and
hiding no bits from the user (i.e., all 4294967296 different bit
@ -202,16 +212,16 @@ the exception being that when converted to a string, the strings
The rules for integer representation are intended to give the most
meaningful interpretation of shift and mask operations involving
negative integers and the least surprises when switching between the
plain and long integer domains. For any operation except left shift,
plain and long integer domains. Any operation except left shift,
if it yields a result in the plain integer domain without causing
overflow, it will yield the same result in the long integer domain or
overflow, will yield the same result in the long integer domain or
when using mixed operands.
\indexii{integer}{representation}
\item[Floating point numbers]
These represent machine-level double precision floating point numbers.
You are at the mercy of the underlying machine architecture and
\C{} implementation for the accepted range and handling of overflow.
You are at the mercy of the underlying machine architecture (and
C or Java implementation) for the accepted range and handling of overflow.
Python does not support single-precision floating point numbers; the
savings in processor and memory usage that are usually the reason for using
these is dwarfed by the overhead of using objects in Python, so there
@ -220,13 +230,14 @@ point numbers.
\obindex{floating point}
\indexii{floating point}{number}
\indexii{C}{language}
\indexii{Java}{language}
\item[Complex numbers]
These represent complex numbers as a pair of machine-level double
precision floating point numbers. The same caveats apply as for
floating point numbers. The real and imaginary value of a complex
number \code{z} can be retrieved through the attributes \code{z.real}
and \code{z.imag}.
floating point numbers. The real and imaginary parts of a complex
number \code{z} can be retrieved through the read-only attributes
\code{z.real} and \code{z.imag}.
\obindex{complex}
\indexii{complex}{number}
@ -349,7 +360,7 @@ assignment and \keyword{del} (delete) statements.
\index{subscription}
\index{slicing}
There is currently a single mutable sequence type:
There is currently a single intrinsic mutable sequence type:
\begin{description}
@ -395,7 +406,7 @@ comparison: if two numbers compare equal (e.g., \code{1} and
\code{1.0}) then they can be used interchangeably to index the same
dictionary entry.
Dictionaries are mutable; they are created by the
Dictionaries are mutable; they can be created by the
\code{\{...\}} notation (see section \ref{dict}, ``Dictionary
Displays'').
@ -551,10 +562,10 @@ the next item).
\item[Built-in methods]
This is really a different disguise of a built-in function, this time
containing an object passed to the \C{} function as an implicit extra
containing an object passed to the C function as an implicit extra
argument. An example of a built-in method is
\code{\var{list}.append()}, assuming
\var{list} is a list object.
\code{\var{alist}.append()}, assuming
\var{alist} is a list object.
In this case, the special read-only attribute \member{__self__} is set
to the object denoted by \var{list}.
\obindex{built-in method}
@ -940,8 +951,8 @@ extracting a slice may not make sense. (One example of this is the
\begin{methoddesc}[object]{__init__}{self\optional{, \moreargs}}
Called\indexii{class}{constructor} when the instance is created. The
arguments are those passed to the class constructor expression. If a
base class has an \method{__init__()} method the derived class's
\method{__init__()} method must explicitly call it to ensure proper
base class has an \method{__init__()} method, the derived class's
\method{__init__()} method, if any, must explicitly call it to ensure proper
initialization of the base class part of the instance; for example:
\samp{BaseClass.__init__(\var{self}, [\var{args}...])}. As a special
contraint on constructors, no value may be returned; doing so will
@ -952,7 +963,8 @@ cause a \exception{TypeError} to be raised at runtime.
\begin{methoddesc}[object]{__del__}{self}
Called when the instance is about to be destroyed. This is also
called a destructor\index{destructor}. If a base class
has a \method{__del__()} method, the derived class's \method{__del__()} method
has a \method{__del__()} method, the derived class's \method{__del__()}
method, if any,
must explicitly call it to ensure proper deletion of the base class
part of the instance. Note that it is possible (though not recommended!)
for the \method{__del__()}
@ -966,9 +978,9 @@ the interpreter exits.
\begin{notice}
\samp{del x} doesn't directly call
\code{x.__del__()} --- the former decrements the reference count for
\code{x} by one, and the latter is only called when its reference
\code{x} by one, and the latter is only called when \code{x}'s reference
count reaches zero. Some common situations that may prevent the
reference count of an object to go to zero include: circular
reference count of an object from going to zero include: circular
references between objects (e.g., a doubly-linked list or a tree data
structure with parent and child pointers); a reference to the object
on the stack frame of a function that caught an exception (the
@ -1014,6 +1026,9 @@ object with the same value (given an appropriate environment). If
this is not possible, a string of the form \samp{<\var{...some useful
description...}>} should be returned. The return value must be a
string object.
If a class defines \method{__repr__()} but not \method{__str__()},
then \method{__repr__()} is also used when an ``informal'' string
representation of instances of that class is required.
This is typically used for debugging, so it is important that the
representation is information-rich and unambiguous.
@ -1053,7 +1068,7 @@ follows:
These methods can return any value, but if the comparison operator is
used in a Boolean context, the return value should be interpretable as
a Boolean value, else a \exception{TypeError} will be raised.
By convention, \code{0} is used for false and \code{1} for true.
By convention, \code{False} is used for false and \code{True} for true.
There are no reflected (swapped-argument) versions of these methods
(to be used when the left argument does not support the operation but
@ -1078,7 +1093,7 @@ by object identity (``address''). See also the description of
support custom comparison operations and are usable as dictionary
keys.
(Note: the restriction that exceptions are not propagated by
\method{__cmp__()} has been removed in Python 1.5.)
\method{__cmp__()} has been removed since Python 1.5.)
\bifuncindex{cmp}
\index{comparisons}
\end{methoddesc}
@ -1200,9 +1215,16 @@ compatibility, the method \method{__getslice__()} (see below) can also be
defined to handle simple, but not extended slices.) It is also recommended
that mappings provide the methods \method{keys()}, \method{values()},
\method{items()}, \method{has_key()}, \method{get()}, \method{clear()},
\method{setdefault()}, \method{iterkeys()}, \method{itervalues()},
\method{iteritems()}, \method{pop()},, \method{popitem()},
\method{copy()}, and \method{update()} behaving similar to those for
Python's standard dictionary objects; mutable sequences should provide
Python's standard dictionary objects. The \module{UserDict} module
provides a \class{DictMixin} class to help create those methods
from a base set of \method{__getitem__()}, \method{__setitem__()},
\method{__delitem__()}, and \method{keys()}.
Mutable sequences should provide
methods \method{append()}, \method{count()}, \method{index()},
\method{extend()},
\method{insert()}, \method{pop()}, \method{remove()}, \method{reverse()}
and \method{sort()}, like Python standard list objects. Finally,
sequence types should implement addition (meaning concatenation) and
@ -1214,13 +1236,23 @@ operators. It is recommended that both mappings and sequences
implement the \method{__contains__()} method to allow efficient use of
the \code{in} operator; for mappings, \code{in} should be equivalent
of \method{has_key()}; for sequences, it should search through the
values.
values. It is further recommended that both mappings and sequences
implement the \method{__iter__()} method to allow efficient iteration
through the container; for mappings, \method{__iter__()} should be
the same as \method{iterkeys()}; for sequences, it should iterate
through the values.
\withsubitem{(mapping object method)}{
\ttindex{keys()}
\ttindex{values()}
\ttindex{items()}
\ttindex{iterkeys()}
\ttindex{itervalues()}
\ttindex{iteritems()}
\ttindex{has_key()}
\ttindex{get()}
\ttindex{setdefault()}
\ttindex{pop()}
\ttindex{popitem()}
\ttindex{clear()}
\ttindex{copy()}
\ttindex{update()}
@ -1228,6 +1260,7 @@ values.
\withsubitem{(sequence object method)}{
\ttindex{append()}
\ttindex{count()}
\ttindex{extend()}
\ttindex{index()}
\ttindex{insert()}
\ttindex{pop()}
@ -1240,7 +1273,8 @@ values.
\ttindex{__mul__()}
\ttindex{__rmul__()}
\ttindex{__imul__()}
\ttindex{__contains__()}}
\ttindex{__contains__()}
\ttindex{__iter__()}}
\withsubitem{(numeric object method)}{\ttindex{__coerce__()}}
\begin{methoddesc}[container object]{__len__}{self}
@ -1315,9 +1349,9 @@ the key-item pairs.
\subsection{Additional methods for emulation of sequence types
\label{sequence-methods}}
The following methods can be defined to further emulate sequence
objects. Immutable sequences methods should only define
\method{__getslice__()}; mutable sequences, should define all three
The following optional methods can be defined to further emulate sequence
objects. Immutable sequences methods should at most only define
\method{__getslice__()}; mutable sequences might define all three
three methods.
\begin{methoddesc}[sequence object]{__getslice__}{self, i, j}
@ -1341,17 +1375,21 @@ object is created instead, and passed to \method{__getitem__()} instead.
Called to implement assignment to \code{\var{self}[\var{i}:\var{j}]}.
Same notes for \var{i} and \var{j} as for \method{__getslice__()}.
This method is deprecated. If no \method{__setslice__()} is found, a
slice object is created instead, and passed to \method{__setitem__()}
instead.
This method is deprecated. If no \method{__setslice__()} is found,
or for extended slicing of the form
\code{\var{self}[\var{i}:\var{j}:\var{k}]}, a
slice object is created, and passed to \method{__setitem__()},
instead of \method{__setslice__()} being called.
\end{methoddesc}
\begin{methoddesc}[sequence object]{__delslice__}{self, i, j}
Called to implement deletion of \code{\var{self}[\var{i}:\var{j}]}.
Same notes for \var{i} and \var{j} as for \method{__getslice__()}.
This method is deprecated. If no \method{__delslice__()} is found, a
slice object is created instead, and passed to \method{__delitem__()}
instead.
This method is deprecated. If no \method{__delslice__()} is found,
or for extended slicing of the form
\code{\var{self}[\var{i}:\var{j}:\var{k}]}, a
slice object is created, and passed to \method{__delitem__()},
instead of \method{__delslice__()} being called.
\end{methoddesc}
Notice that these methods are only invoked when a single slice with a
@ -1387,8 +1425,8 @@ class MyClass:
...
\end{verbatim}
Note the calls to \function{max()}; these are actually necessary due
to the handling of negative indices before the
Note the calls to \function{max()}; these are necessary because of
the handling of negative indices before the
\method{__*slice__()} methods are called. When negative indexes are
used, the \method{__*item__()} methods receive them as provided, but
the \method{__*slice__()} methods get a ``cooked'' form of the index

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@ -638,9 +638,15 @@ identifier in the list. The form with \keyword{from} performs step
\indexii{importing}{module}
\indexii{name}{binding}
\kwindex{from}
% XXX Need to define what ``initialize'' means here
The system maintains a table of modules that have been initialized,
In this context, to ``initialize'' a built-in or extension module means to
call an initialization function that the module must provide for the purpose
(in the reference implementation, the function's name is obtained by
prepending string ``init'' to the module's name); to ``initialize'' a
Python-coded module means to execute the module's body.
The system maintains a table of modules that have been or are being
initialized,
indexed by module name. This table is
accessible as \code{sys.modules}. When a module name is found in
this table, step (1) is finished. If not, a search for a module